Choose one repetitive workflow and turn it into a working, measurable automation with human approval built in.
Last updated: October 4, 2026
Most businesses begin AI work by choosing tools. We begin by choosing one recurring task whose time can be measured and whose output can be reviewed.
The pilot is not an open-ended promise to “add AI to the business.” It turns a specific process into a working first version and measures whether it creates real operational value.
We do not select high-risk, hard-to-reverse processes or tasks that make binding customer decisions without review as a first pilot.
The first pilot does not attempt to transform the entire company, connect several departments at once or send uncontrolled messages to customers. A narrow scope creates faster learning and lowers the cost of mistakes.
For the discovery conversation we ask for four things: the repeated task, its approximate current duration, the tools in which it runs, and what must change for the pilot to count as successful.
We then provide a written scope and price. We do not publish a fixed price because apparently similar processes can require very different work depending on data quality and the number of integrations.
Where personal or customer data is involved, data flows and access boundaries are assessed before technical implementation. Legal assessment remains with the customer's own counsel.
One recurring task whose time can be measured and whose output can be reviewed: classifying and routing incoming requests and forms, first drafts of proposals/reports/standard documents, extracting data from documents and tables, running repeated operational checks, and team summaries. We do not pick high-risk, hard-to-reverse processes or ones that make directly binding decisions.
A working automation for the one chosen workflow; a clear map of input, output and human-approval points; error and exception scenarios; test records and a basic usage guide; a result summary with the success metric; and a recommendation to continue, adjust or stop.
In the discovery call we ask for four things: the repetitive task, roughly how long it takes today, which tools it runs on, and what needs to change for it to count as successful.
We do not show a fixed price on the page; after the discovery call we give a written quote for scope and price. A process that looks the same in two businesses can carry different workload due to data condition and the number of integrations.
In the first pilot we do not try to transform the whole company, connect several departments at once, or send uncontrolled messages to customers. A narrow scope means faster learning and a lower cost of error.
Tell us what you need and we'll scope it with you.